The Machine Learning Genoa Center aims at developing a new generation of theoretically sound intelligent systems to be applied in science, engineering and technology. The center is organized in four units.
Our aim is to advance the frontiers of learning theory and machine learning, while building algorithmic tools for the analysis of complex systems and high dimensional data.
Our scientific interests focus on harmonic analysis, inverse problems, PDE and machine learning.
Our main focus is to apply Machine Learning to complex real-world data, making sure to design stable, reproducible and interpretable applications.
We investigate different nuances of visual perception in artificial intelligence systems, where computer vision and machine learning are combined to obtain robust data-driven methods addressing a variety of problems
Machine Learning Crash Course, from June 17 to 21, 2019.
MaLGa kick-off event, on July, 1 2019.
Three minicourses on Signal Analysis and Big Data, from September 9 to 13, 2019.